Data Science and Analytics Manager

1 day left

Employer
AARP
Location
Washington, DC
Posted
Aug 26, 2021
Closes
Sep 25, 2021
Ref
12461361
Industry
Science
Hours
Full Time
Business Unit Description

AARP Services (ASI) is where AARP's mission meets the marketplace for the 50+ population, by sparking new solutions that transform the marketplace to improve people's lives as they age. Founded in 1999 as the professional services arm of AARP, ASI supports the Association's mission of Disrupt Aging by helping bring new products to market to drive innovation and build richer connections with consumers. ASI acts as a bridge, connecting companies to people by helping bring experiences, products and services that matter to them as they move through life stages.
Summary

AARP Services (ASI) is a $1.2Bn for-profit division of AARP. ASI's B2B revenue is derived from 60 providers / 140 top national brands that co-develop products with AARP. These new products leverage AARP's brand and are marketed to its membership of 38M consumers.

ASI provides a full suite of advertising and marketing services to these partners in the form of media services, creative oversight, data management and governance, analytics and reporting deliverables, digital and other marketing functions. ASI primarily focuses on reaching and engaging AARP's nearly 38M members using omni-channel capabilities; there is additional focus on the most valuable segment in the US, entire segment of age 50+ consumers totaling 127M who control 70% of disposable income.

The Advisor, Data Science and Analytics is a key member of ASI Data Intelligence Group and helps on our overall effort to transform into an integrated Data & Intelligence solutions organization utilizing best-in-class data and insight capabilities across creative, media and technology.

Reporting to the Director, Data Science and Analytics, he / she will play a critical role to 1) Modernize ASI data science and analytics operations; 2) Scope and develop innovative and scalable data science solutions and capabilities; as well as 3) Apply analytical and interpersonal skills to scale up data science & analytics services to grow tangible impact for AARP members and providers.
Responsibilities

The Advisor, Data Science and Analytics is responsible for contributing to and executing on the vision and strategy of ASI's Data Science roadmap. This person has the following responsibilities:
  • Modernize ASI data science and analytics operations to drive open source programming, automation and big data capabilities.
  • Evaluate, innovate and operationalize sophisticated and scalable data science and analytics capabilities (e.g. data products, models and segmentations, optimization, digital audiences, behavior based targeting, advanced analytics processes and algorithms etc.) to expand ASI Data Ecosystem and enhance ASI Data Science capabilities.
  • Collaborate cross-functionally to define and prioritize delivery of integrated products, solutions and capabilities.
  • Develop go-to-market materials clearly articulating the value proposition of data science and analytics capabilities and solutions.
  • Evaluate, innovate and operationalize marketing performance measurement & attribution solutions to support AARP providers' $750M+ marketing spend towards AARP members.
  • Day-to-day activity by applying skills in support of data science and analytics deliverables for ASI, AARP and Providers on time/on budget to drive superior results and raving fan clients.
  • Apply great interpersonal, communication and presentation skills to collaborate and engage with clients and key stakeholders, customize recommendations to scale up data science & analytics services to grow tangible impact for AARP members and providers
  • Data Science and analytics solution documentation and training material development.
Requirements
  • 5+ years of experience in data science role with strong marketing, modeling and business analytics background
  • Master degree in quantitative discipline, e.g. statistics, economics, computer Science, engineering and etc.
  • Proficiency in open source programming (e.g. python & pyspark, scala, R), cloud environment (e.g. AWS, databricks), SAS, SQL and Excel (including VBA)
  • Experience working with database and manipulating, navigating and harvesting large datasets
  • Experience in predictive modeling and machine learning solutions (e.g. logistic regression, linear regression, decision tree based ensemble machine learning algorithm, time-series model, media mix and attribution modeling, streaming etc.)
  • Experience in multi-channel marketing campaigns, measurement, reporting, test design and analyses
  • Experience with consumer, digital marketing / advertising data and technology providers (e.g. Google, LiveRamp, TradeDesks etc.)
  • Experience in applying data science and analytics to solve real world business problems
  • Be able to present sophisticated data science methods and results to business audience
Compensation and Benefits

AARP offers competitive benefits with a 401(k); 100% company-funded pension plan; health, dental, and vision plans; life insurance paid time off to include company and individual holidays, vacation, sick, caregiving, and parental leave; performance-based and peer-based recognition; tuition reimbursement; among others. Visit careers.aarp.org/benefits for more information.

As a result of the COVID pandemic, all interviews will be held virtually and all non-essential employees will continue to work remotely until further notice.
Equal Employment Opportunity

AARP is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. AARP does not discriminate on the basis of race, ethnicity, religion, sex, color, national origin, age, sexual orientation, gender identity or expression, mental or physical disability, genetic information, veteran status, or on any other basis prohibited by applicable law.

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